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Demand forecasting accuracy CPG is a key performance metric used by consumer packaged goods companies to measure how closely forecasted demand matches actual sales outcomes. High forecasting accuracy enables organizations to optimize inventory levels, improve supply chain efficiency, and reduce operational costs. Several factors influence forecasting accuracy in the CPG sector, including historical sales trends, promotional campaigns, seasonality, market dynamics, and consumer behavior changes. Businesses often use advanced analytics, machine learning, and demand planning tools to improve forecast reliability and reduce forecasting errors. Improved forecasting accuracy can help organizations minimize stockouts, avoid excess inventory, and enhance customer service levels.